CN109657664A

CN109657664A - A kind of recognition methods, device and the electronic equipment of license plate type

Info

Publication number: CN109657664A
Application number: CN201710946300.2A
Authority: CN
Inventors: 高增辉
Original assignee: Hangzhou Hikvision Digital Technology Co Ltd
Current assignee: Hangzhou Hikvision Digital Technology Co Ltd
Priority date: 2017-10-12
Filing date: 2017-10-12
Publication date: 2019-04-19
Anticipated expiration: 2037-10-12
Also published as: CN109657664B

Abstract

The embodiment of the present application provides recognition methods, device and the electronic equipment of a kind of license plate type.The described method includes: obtaining license plate image to be identified, the license plate area in the license plate image to be identified is positioned；Character recognition is carried out to the license plate area, obtains character identification result；According to the character identification result, the corresponding target character feature of the license plate area is determined；The corresponding target license plate type of the target character feature, the license plate typelib, for storing the corresponding relationship of character feature Yu license plate type are determined from preset license plate typelib；According to the target license plate type, the corresponding license plate type of the license plate image to be identified is determined.Using scheme provided by the embodiments of the present application, accuracy rate when identification license plate type can be improved in the identical situation of license plate color information of different license plate types.

Description

A kind of recognition methods, device and the electronic equipment of license plate type

Technical field

This application involves field of intelligent transportation technology, more particularly to recognition methods, device and the electricity of a kind of license plate type Sub- equipment.

Background technique

License plate is vehicle " identity card ", is an important information for being different from other motor vehicles.License plate can be divided into Multiple types.In same country or area, license plate can be divided into common license plate, coach's board, interim listed, Wu Jingche The types such as board, military license plate.In the area of the open to traffic of multiple countries, what can be belonged to according to license plate is national by license plate Divide into different types.Identify that the type of license plate has important application in the message context for obtaining vehicle.

It in the related technology, can be according to license plate to be identified when the license plate type to license plate image to be identified identifies The color characteristic of license plate area in image, from license plate to be identified determining in the corresponding relationship of preset license plate type and color space The corresponding license plate type of image.Specifically, license plate area can be oriented from license plate image to be identified, the license plate area is counted The pixel quantity of middle different colours determines the pixel that the corresponding color space of preset license plate type is fallen in the license plate area Point quantity accounts for the ratio of the total pixel quantity of the license plate area, and the color space which is greater than preset ratio threshold value is corresponding License plate type is determined as the license plate type of license plate image to be identified.

In general, when each license plate type corresponds to different color spaces, using the recognition methods energy of above-mentioned license plate type Enough identify the license plate type of license plate image to be identified.But due to there is a large amount of license plate type, each license plate class in practice The corresponding license plate color information of type is not different from each other, therefore identical for the license plate color information of different license plate types The accuracy rate of situation, the license plate type identified using the above method is lower.For example, as shown in Figure 1a, the military license plate 1 in China It is all the license plate of white gravoply, with black engraved characters with police license plate 2, the license plate of Croatia 3 and Slovakia 4 is all the license plate of white gravoply, with black engraved characters, is adopted Can not accurately distinguish in aforementioned manners license plate image to be identified be military license plate type or police license plate type, also can not be accurate Distinguishing license plate image to be identified is Croatia's license plate type or Slovakia's license plate type.

Summary of the invention

Recognition methods, device and the electronic equipment for being designed to provide a kind of license plate type of the embodiment of the present application, with In the identical situation of license plate color information of different license plate types, accuracy rate when identification license plate type is improved.

In order to achieve the above object, the embodiment of the present application provides a kind of recognition methods of license plate type, the method packet It includes:

License plate image to be identified is obtained, the license plate area in the license plate image to be identified is positioned；

Character recognition is carried out to the license plate area, obtains character identification result；

According to the character identification result, the corresponding target character feature of the license plate area is determined；

The corresponding target license plate type of the target character feature, the license plate class are determined from preset license plate typelib Type library, for storing the corresponding relationship of character feature Yu license plate type；

According to the target license plate type, the corresponding license plate type of the license plate image to be identified is determined.

Optionally, the license plate typelib, for storing each layer character feature and the last layer according to tree-like arrangement Each layer in the corresponding license plate type of character feature, each target character feature and the license plate typelib corresponds；

The described the step of corresponding target license plate type of the target character feature is determined from preset license plate typelib, Include:

First layer target character feature is determined as to the target character feature of current layer, it will be first in the license plate typelib All character features of layer are determined as character feature to be selected；

The determining matching character feature with the target character characteristic matching of current layer from the character feature to be selected；

Judge whether the matching character feature is the last layer character feature；

If it is, the corresponding license plate type of the matching character feature is determined as target license plate type；

If it is not, then next layer of target character feature to be updated to the target character feature of current layer, by the license plate class Next layer of all character features are updated to character feature to be selected in type library, return special from the character to be selected described in executing In sign the step of the determining matching character feature with the target character characteristic matching of current layer.

Optionally, the target character feature includes at least one of following characteristics: single bilayer license board information, character are total Quantity, the quantity of all kinds of ocra font ocrs, character distributed architecture.

Optionally, the target character feature includes the character distributed architecture；

It is described according to the character identification result, the step of determining the license plate area corresponding target character feature, packet It includes:

According to the character identification result, the space position in the license plate area is determined；

According to each character in the space position and the character identification result, the corresponding word of the license plate area is determined Accord with distributed architecture.

Optionally, described according to the character identification result, the step of determining the space position in the license plate area, packet It includes:

Determine center in the character identification result between adjacent character region away from；

Determine the center away from the maximum preset quantity center of middle numerical value away from, as target's center away from；

Calculate center of the center away from in addition to the target's center away from other than away from average value, as mean center Away from；

Judge the target's center away from the mean center away from whether meeting default size relation；

If it is satisfied, then the target's center is determined as space position away from the position between corresponding adjacent character region It sets；

Wherein, the default size relation includes at least one of following situations:

The target's center away from the mean center away from ratio be greater than default fractional threshold；

The target's center away from the mean center away from difference be greater than preset difference value threshold value.

Optionally, after determining the corresponding character distributed architecture of the license plate area, the method also includes:

Judge whether the character distributed architecture meets preset characters distributed architecture；

If met, judge whether the character types in the character identification result are preset characters type, it is described pre- If character types are character types corresponding with the preset characters distributed architecture；

If being not preset characters type, the character in the character identification result is converted to corresponding with the character The character of preset characters type obtains updated character identification result.

Optionally, described according to each character in the space position and the character identification result, determine the license plate The step of corresponding character distributed architecture in region, comprising:

According to each character in the space position and the character identification result, original character distributed architecture is determined；

Judge in preset structural library with the presence or absence of distributed architecture identical with the original character distributed architecture, wherein The structural library is for storing each character distributed architecture；

If it is present the original character distributed architecture is determined as the corresponding character distribution knot of the license plate area Structure；

If it does not exist, then the determining and highest character of original character distributed architecture similarity from the structural library Distributed architecture, as reference character distributed architecture；

Determine the difference character field of the original character distributed architecture Yu reference character distributed architecture；

According to the difference character field, character corresponding with the difference character field in the character identification result is corrected, Obtain revised character identification result；

According to the space position and revised character identification result, the corresponding character distribution of the license plate area is determined Structure.

Optionally, described according to the target license plate type, determine the corresponding license plate type of the license plate image to be identified The step of, comprising:

Judge whether the quantity of the target license plate type is greater than one；

If it is not, then the target license plate type is determined as the corresponding license plate type of the license plate image to be identified；

If it is, determining distinctive mark region from the license plate area according to preset distinctive mark position；

Determine the characteristics of image in the distinctive mark region, and be used to determine license plate by the input of described image feature is preset The classifier of type；Wherein, the classifier, characteristics of image and vehicle obtained when for being completed according to the classifier training The corresponding relationship of board type determines the inputted corresponding license plate type of characteristics of image；Described image feature is according to the spy The feature that the pixel value of different mark region determines；

The license plate type that the classifier is sent is obtained, accessed license plate type is determined as the license plate to be identified The corresponding license plate type of image.

In order to achieve the above object, the embodiment of the present application provides a kind of identification device of license plate type, described device packet It includes:

Locating module positions the license plate area in the license plate image to be identified for obtaining license plate image to be identified；

Identification module obtains character identification result for carrying out character recognition to the license plate area；

First determining module, for determining the corresponding target character of the license plate area according to the character identification result Feature；

Matching module, for determining the corresponding target license plate class of the target character feature from preset license plate typelib Type, the license plate typelib, for storing the corresponding relationship of character feature Yu license plate type；

Second determining module, for determining the corresponding vehicle of the license plate image to be identified according to the target license plate type Board type.

The matching module, comprising:

First determines submodule, will for first layer target character feature to be determined as to the target character feature of current layer All character features of first layer are determined as character feature to be selected in the license plate typelib；

Matched sub-block, for target character characteristic matching determining and current layer from the character feature to be selected Match character feature；

First judging submodule, for judging whether the matching character feature is the last layer character feature；

Second determines submodule, is used for when the matching character feature is the last layer character feature, by the matching The corresponding license plate type of character feature is determined as target license plate type；

Submodule is updated, for when the matching character feature is not the last layer character feature, by next layer of target Character feature is updated to the target character feature of current layer, and next layer in the license plate typelib of all character features are updated For character feature to be selected, the matched sub-block is triggered.

Optionally, the target character feature includes character distributed architecture；

First determining module, comprising:

Space determines submodule, for determining the space position in the license plate area according to the character identification result；

Structure determination submodule, for determining according to each character in the space position and the character identification result The corresponding character distributed architecture of the license plate area.

Optionally, the space determines submodule, comprising:

First center is away from determination unit, for determining the center in the character identification result between adjacent character region Away from；

Second center is away from determination unit, for determining the center away from the maximum preset quantity center of middle numerical value away from work For target's center away from；

Mean center away from computing unit, for calculate center of the center away from in addition to the target's center away from other than away from Average value, as mean center away from；

First judging unit, for judge the target's center away from the mean center away from whether meeting default size and close System；

Space determination unit is used for when the target's center is away from the mean center away from default size relation is met, The target's center is determined as space position away from the position between corresponding adjacent character region；

Optionally, described device further include:

Update module, for after determining the corresponding character distributed architecture of the license plate area, judging the character point Whether cloth structure meets preset characters distributed architecture；If met, judge that the character types in the character identification result are No is preset characters type, and the preset characters type is character types corresponding with the preset characters distributed architecture；If It is not preset characters type, then the character in the character identification result is converted into preset characters type corresponding with the character Character, obtain updated character identification result.

Optionally, the structure determination submodule, comprising:

Originally determined unit, for determining just according to each character in the space position and the character identification result Beginning character distributed architecture；

Second judgment unit, for judging in preset structural library with the presence or absence of identical as the original character distributed architecture Distributed architecture, wherein the structural library is for storing each character distributed architecture；

First structure determination unit, for identical with the original character distributed architecture when existing in preset structural library When distributed architecture, the original character distributed architecture is determined as the corresponding character distributed architecture of the license plate area；

Second structure determination unit, for when there is no identical as the original character distributed architecture in preset structural library Distributed architecture when, then it is determining from the structural library to be tied with the highest character distribution of the original character distributed architecture similarity Structure, as reference character distributed architecture；Determine the difference character of the original character distributed architecture Yu reference character distributed architecture Section；According to the difference character field, character corresponding with the difference character field in the character identification result is corrected, is repaired Character identification result after just；According to the space position and revised character identification result, the license plate area pair is determined The character distributed architecture answered.

Optionally, second determining module, comprising:

Second judgment submodule, for judging whether the quantity of the target license plate type is greater than one；

Third determines submodule, when the quantity of the target license plate type is not more than one, by the target license plate class Type is determined as the corresponding license plate type of the license plate image to be identified；

4th determine submodule, for when the quantity of the target license plate type be greater than one when, according to preset special Mark position determines distinctive mark region from the license plate area；

Input submodule inputs in advance for determining the characteristics of image in the distinctive mark region, and by described image feature If for determining the classifier of license plate type；Wherein, the classifier is obtained when for completing according to the classifier training The corresponding relationship of the characteristics of image and license plate type that obtain determines the inputted corresponding license plate type of characteristics of image；Described image Feature is the feature determined according to the pixel value in the distinctive mark region；

Acquisition submodule, the license plate type sent for obtaining the classifier, accessed license plate type is determined For the corresponding license plate type of the license plate image to be identified.

The embodiment of the present application provides a kind of electronic equipment, including processor, communication interface, memory and communication bus, Wherein, processor, communication interface, memory complete mutual communication by communication bus；

Memory, for storing computer program；

Processor when for executing the program stored on memory, realizes license plate type provided by the embodiments of the present application Recognition methods.This method comprises:

The embodiment of the present application provides a kind of computer readable storage medium, storage in the computer readable storage medium There is computer program, the computer program realizes the identification of license plate type provided by the embodiments of the present application when being executed by processor Method.This method comprises:

Recognition methods, device and the electronic equipment of license plate type provided by the embodiments of the present application, can position vehicle to be identified License plate area in board image carries out character recognition to the license plate area, character identification result is obtained, according to the character recognition knot Fruit determines the corresponding target character feature of license plate area, determines that target character feature is corresponding from preset license plate typelib Target license plate type, and according to the target license plate type, determine the corresponding license plate type of license plate image to be identified.Wherein, license plate Typelib is used to store the corresponding relationship of character feature Yu license plate type.

That is, the embodiment of the present application can determine license plate type according to the character feature of license plate.In different license plates In the identical situation of license plate color information of type, the character feature of license plate is the feature more richer than the colouring information of license plate, License plate type can be more accurately identified according to the character feature of license plate.Meanwhile to license plate area progress character recognition, and according to Character identification result determines the character feature of license plate, and determining character feature can be made more acurrate, to further increase this Shen Please embodiment provide license plate type identification scheme accuracy rate.

Detailed description of the invention

In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below There is attached drawing needed in technical description to be briefly described.It should be evident that the accompanying drawings in the following description is only this Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.

Fig. 1 a is the different types of license plate exemplary diagram of the identical license plate of colouring information；

Fig. 1 b is the license plate exemplary diagram of European Union area every country type；

Fig. 2 is a kind of flow diagram of the recognition methods of license plate type provided by the embodiments of the present application；

Fig. 3 is a kind of flow diagram of step S204 in Fig. 2；

Fig. 4 be according to character zone determine center away from a kind of schematic illustration；

Fig. 5 is a kind of flow diagram of step S205 in Fig. 2；

Fig. 6 is a kind of structural schematic diagram of the identification device of license plate type provided by the embodiments of the present application；

Fig. 7 is a kind of structural schematic diagram of electronic equipment provided by the embodiments of the present application.

Specific embodiment

Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete Whole description.Obviously, described embodiment is only a part of the embodiment of the application, instead of all the embodiments.Base Embodiment in the application, those of ordinary skill in the art are obtained all without making creative work Other embodiments shall fall in the protection scope of this application.

The embodiment of the present application provides recognition methods, device and the electronic equipment of a kind of license plate type, can be in different vehicles In the identical situation of license plate color information of board type, accuracy rate when identification license plate type is improved.Below by specific implementation Example, is described in detail the application.

Fig. 2 is a kind of flow diagram of the recognition methods of license plate type provided by the embodiments of the present application.This method application In electronic equipment.This method specifically comprises the following steps S201~step S205:

Step S201: obtaining license plate image to be identified, positions the license plate area in the license plate image to be identified.

Wherein, license plate image to be identified can be understood as the image comprising license plate area of license plate type to be identified.Wait know Other license plate image can be the vehicle image captured on road, be also possible to image arbitrarily comprising license plate area, the application Embodiment is not specifically limited in this embodiment.License plate area can be understood as the image-region where the license plate number of vehicle.

As a kind of specific embodiment, license plate can be divided into multiple types, license plate to be identified according to actual needs License plate in image may be one in each type.For example, in same country or area, it can be in advance by license plate point For the types such as common license plate, coach's board, interim listed, People's Armed Police's license plate, military license plate；In the open to traffic of multiple countries Area (such as European Union area), can previously according to license plate belong to country license plate be divided into different country types.To The license plate of identification license plate image may be any one in above-mentioned license plate type.

For example, Fig. 1 b, which is shown, divides obtained country according to the national difference that license plate belongs to for the license plate of European Union area Type.7 national license plates are distinguished with 7 frames in figure, the corresponding country type of these license plates is respectively as follows: Croatia K, Si Luo Cut down a gram S, Czech J, Bulgarian B, Macedonia M, Hungary X, Switzerland R.

It is positioned in license plate image to be identified after obtaining license plate image to be identified as the electronic equipment of executing subject License plate area when, can be according to there are the features of a large amount of pixel value trip points to be positioned in license plate area, can also basis The edge of license plate area is positioned with the feature that other area pixel points have jump.The application to specific position fixing process not It limits.

Step S202: character recognition is carried out to above-mentioned license plate area, obtains character identification result.

Wherein, above-mentioned character identification result may include character and corresponding character types, character zone etc., character zone The as character corresponding image-region in license plate area.

Specifically, carrying out character recognition to license plate area, when obtaining character identification result, vertical projection method can be first used And/or connection domain method is split the first license plate area, obtains Character segmentation as a result, then using preset Character recognizer Each Character segmentation result is identified, character identification result is obtained.

Step S203: according to above-mentioned character identification result, the corresponding target character feature of above-mentioned license plate area is determined.

Wherein, target character feature includes at least one of following characteristics: single bilayer license board information, character total quantity, The quantity of all kinds of ocra font ocrs, character distributed architecture.It is that single layer license plate is still double that single bilayer license board information, which can be understood as the license plate, Layer license plate.All kinds of ocra font ocrs may include the character of letter type and the character of numeric type.Character distributed architecture is understood that For the structure as corresponding to the space among character number and character.Space among character, referring in license plate area can incite somebody to action Character is divided into the part of each character field, and first license plate area includes 2 spaces to example in Croatia K type as shown in figure 1, this Character is divided into 3 sections by a little spaces.In addition, character distributed architecture can also include the character types of each section character.For example, figure The corresponding character distributed architecture of first license plate area is 3-3 in Hungary X type in 1, and intermediate symbol "-" represents space, And the corresponding character types of 3-3 structure are letter type-numeric type.

It, can be with when determining the corresponding target character feature of above-mentioned license plate area specifically, according to above-mentioned character identification result It include: to determine that above-mentioned license plate area is corresponding according to the character and corresponding character types for including in above-mentioned character identification result The quantity of character total quantity and all kinds of ocra font ocrs；According to the character zone for each character for including in above-mentioned character identification result, really Determine the corresponding single double-deck license board information of above-mentioned license plate area and character distributed architecture.

Step S204: the corresponding target license plate type of above-mentioned target character feature is determined from preset license plate typelib.

Wherein, license plate typelib, for storing the corresponding relationship of character feature Yu license plate type.In the present embodiment, Corresponding sample license plate image can be obtained previously according to ready-portioned each license plate type, be mentioned from each sample license plate image Character feature is taken, establishes the corresponding relationship of character feature Yu license plate type, and the corresponding relationship is stored to license plate typelib.It should Character feature may include at least one of following characteristics: single bilayer license board information, character total quantity, all kinds of ocra font ocrs number Amount, character distributed architecture.

Specifically, may include following two mode when establishing the corresponding relationship of character feature and license plate type:

The first, establishes the corresponding relationship between each license plate type and each character feature.

It is illustrated by taking the license plate of the every country type of European Union area as an example below.Referring to every country shown in Fig. 1 b Corresponding sample license plate image, can establish the corresponding relationship between character feature shown in table 1 and license plate type.

Table 1

Character feature	Country type
		L=0, Ft=6~8, Fe=3~6, Fn=1~4, Fc=2-3-2,2-3-1,2-4-1,2-4-2	K
L=0, Ft=7, Fe=4, Fn=3, Fc=2-5	S
		L=0, Ft=7, Fe=1~2, Fn=5~6, Fc=3-4	J
L=0, Ft=7~8, Fe=3~4, Fn=4, Fc=1-4-2,2-4-2,1-6	B
		L=0, Ft=7~8, Fe=4, Fn=3~4, Fc=2-3-2,2-4-2	M
L=-1, Ft=6, Fe=3, Fn=3, Fc=3-3	X
		L=-1, Ft=6~8, Fe=2~3, Fn=4~6, Fc=2-4,2-5,2-5-1,2-6	R

Wherein, L is single dual-layered information, and L=0 expression single layer, L=1 expression is double-deck, and L=-1 indicates that single bilayer has, and Ft is Character total quantity, Fe are alphabetical total quantity, and Fn is numerical sum amount, and Fc is character distributed architecture.

Second, establish the corresponding relationship between each character feature and license plate type.

Still it is illustrated by taking the license plate of the every country type of European Union area as an example.Referring to every country pair shown in Fig. 1 b The sample license plate image answered, can establish the corresponding relationship between character feature shown in table 2 and license plate type.

Wherein, the meaning of each letter and table 1 are same in table.

Specifically, when determining the corresponding target license plate type of above-mentioned target character feature from preset license plate typelib, It can correspond to including following two embodiment:

Mode one: each target character feature is matched with each character feature in preset license plate typelib, The corresponding license plate type of the character feature that each target character feature can be matched, is determined as target license plate type.It is this Mode corresponds to license plate typelib shown in table 1.

Mode two: by each target character feature according to it is preset put in order one by one with each word in license plate typelib Symbol feature is matched, and determines the corresponding license plate type group of each target character feature, includes at least one in the license plate type group A license plate type；The identical license plate type for including in each license plate type group is determined as target license plate type.

Step S205: according to above-mentioned target license plate type, the corresponding license plate type of license plate image to be identified is determined.

Specifically, directly target license plate type is determined as wait know when the quantity of above-mentioned target license plate type is one The corresponding license plate type of other license plate image；It, can be according to license plate area when the quantity of above-mentioned target license plate type is greater than one In special pattern further screened, determine the corresponding license plate type of license plate image to be identified.

As shown in the above, the present embodiment can determine license plate type according to the character feature of license plate.Character feature It may include single double-deck license board information, character total quantity, the quantity of all kinds of ocra font ocrs, character distributed architecture etc..In different license plates In the identical situation of license plate color information of type, the character feature of license plate is the feature more richer than the colouring information of license plate, License plate type can be more accurately identified according to the character feature of license plate.Meanwhile to license plate area progress character recognition, and according to Character identification result determines the character feature of license plate, and determining character feature can be made more acurrate, to further increase this reality The accuracy rate of the license plate type identification scheme of example offer is provided.

In order to improve matched accuracy and efficiency, in the another embodiment of embodiment shown in Fig. 2, the license plate Typelib can be used for storing the corresponding license plate class of each layer character feature and the last layer character feature according to tree-like arrangement Each layer in type, each target character feature and license plate typelib corresponds.

By taking the license plate of the every country type of European Union area as an example, illustrate character feature and country type in present embodiment Between corresponding relationship.Referring to the corresponding sample license plate image of every country shown in Fig. 1 b, character shown in table 3 can establish Corresponding relationship between feature and license plate type.

Table 3

Wherein, license plate list dual-layered information is first layer character feature, and character total quantity is second layer character feature, character point Cloth structure is third layer character feature and the last layer character feature, and character distributed architecture is corresponding with license plate type.

In the present embodiment, step S204 determines that the target character feature is corresponding from preset license plate typelib The step of target license plate type, can carry out according to flow diagram shown in Fig. 3, specifically include following steps S204a~ S204e:

First layer target character feature: being determined as the target character feature of current layer by step S204a, by above-mentioned license plate class All character features of first layer are determined as character feature to be selected in type library.

Step S204b: the determining matching character with the target character characteristic matching of current layer from character feature to be selected Feature.

Specifically, the determining matching character feature with the target character characteristic matching of current layer from character feature to be selected When, it may include being determined as the identical character feature of target character feature in character feature to be selected with current layer to match word Accord with feature.

Step S204c: judge whether above-mentioned matching character feature is the last layer character feature, if it is, executing step Rapid S204d；If not, thening follow the steps S204e.

Step S204d: the corresponding license plate type of above-mentioned matching character feature is determined as target license plate type.

Next layer of target character feature: being updated to the target character feature of current layer by step S204e, by license plate typelib In next layer of all character features be updated to character feature to be selected, return to step S204b.

As an example, it is known that target character feature includes: single layer license plate, and character total quantity is 6, character distributed architecture For 2-4.Wherein, with the sequence of the one-to-one target character feature of each layer in license plate typelib are as follows: first layer be single layer vehicle Board, the second layer are that character total quantity is 6, and third layer is that character distributed architecture is 2-4.License plate typelib is as shown in table 3, then pressing When being matched target character feature with license plate typelib according to above-mentioned matching process, it can determine that target license plate type is R.

As it can be seen that each layer character feature can be stored in license plate typelib by the present embodiment according to tree-like put in order, When matching, each target character feature is sequentially matched according to the sequence of each layer, until it is matched to the last layer character feature, it will most The corresponding license plate type of later layer character feature is determined as target license plate type.Matching efficiency can be improved in this matching process, Guarantee matched accuracy simultaneously.

In a kind of embodiment of embodiment shown in Fig. 2, when target character feature includes character distributed architecture, step S203 determines the corresponding target character feature of above-mentioned license plate area, may include following step that is, according to above-mentioned character identification result Rapid 1 and step 2:

Step 1: according to above-mentioned character identification result, determining the space position in above-mentioned license plate area.

Wherein it is determined that the space position in license plate area can be understood as determining that space is located at n-th of word in license plate area Between symbol and m-th of character, it is understood that for the coordinate position for determining space in license plate area.

Specifically, the step 1 may include numerous embodiments, as a kind of specific embodiment, step 1 be can wrap Include following steps 1a~step 1e:

Step 1a: determine center in above-mentioned character identification result between adjacent character region away from.

Specifically, determine center away from when, may include: the vertical of each character zone in determining above-mentioned character identification result The abscissa of center line determines the distance between adjacent upright center line, obtain each center away from.

As an example, Fig. 4 provide according to character zone determine center away from a kind of schematic illustration.Square is used in figure Shape box is shown each character zone (6) totally, and vertical dotted line is the vertical centerline (totally 6) of each character zone, respectively The distance between a vertical centerline is gone out with lateral arrows line drawing, the length of the lateral arrows line be centered on away from (totally 5).

Step 1b: determine above-mentioned center away from the maximum preset quantity center of middle numerical value away from, as target's center away from.Its In, preset quantity can be configured according to the actual situation, such as when at most there is 2 spaces in actual license plate, can be incited somebody to action Preset quantity is set as 2.

Step 1c: calculate center of the above-mentioned center away from in addition to target's center away from other than away from average value, in average The heart away from.

Step 1d: judge above-mentioned target's center away from mean center away from whether meeting default size relation, if it is satisfied, then Execute step 1e；If conditions are not met, can not then be handled.

Wherein, above-mentioned default size relation may include at least one of following situations:

Target's center away from mean center away from ratio be greater than default fractional threshold；

Target's center away from mean center away from difference be greater than preset difference value threshold value.

For example, preset ratio threshold value can be taken as 1.1,1.2 or other values.Preset difference value threshold value can be according to license plate word Symbol center away from assembly average obtain, for example, when characters on license plate center away from assembly average be 10px when, preset difference value threshold Value can be taken as 2px, 3px or other values.

It is understood that mean center is away from the center being able to reflect between the character not comprising space away from when in target When the heart is away from mean center away from above-mentioned default size relation is met, the target's center can be determined away from corresponding space position.

When target's center away from quantity be greater than two when, judge above-mentioned target's center away from mean center away from whether meeting When default size relation, can judge respectively each target's center away from mean center away from whether meeting default size relation.

Step 1e: target's center is determined as space position away from the position between corresponding adjacent character region.

It should be pointed out that each target's center is calculated away from being by two adjacent character zones, therefore can The position between two adjacent character zones is determined as space position.Specifically, can be by two adjacent character areas Regional location in domain between the right margin of left character zone and the left margin of right character zone is determined as space position.It can also To be, by the position between two adjacent character zones it is corresponding be information between which character and which character, It is determined as space position.

When there are multiple target's centers in the preset quantity target's center determined in step 1b away from meeting in step 1d away from Rule of judgment then illustrates that there are how many a spaces in the license plate area.

Further, the corresponding target's center in each space position can also be recorded away from and determining each mesh for being recorded Ratio of the mark center away between, as the information that character distributed architecture includes in character feature.

It should be noted that center in above embodiment by character pitch away from can also be replaced.Character pitch can be with It is interpreted as the right margin of left character zone and the distance between the left margin of right character zone.

Step 2: according to each character in above-mentioned space position and character identification result, determining the corresponding character of license plate area Distributed architecture.

Specifically, can determine license plate area according to the sequence of each character in above-mentioned space position and character identification result The corresponding character distributed architecture in domain；It can also be according to the corresponding character of character each in above-mentioned space position and character identification result The position in region determines the corresponding character distributed architecture of license plate area.

As an example, when determine space position between the 3rd character and the 4th character, and character recognition knot 6 characters are shared in fruit, can determine that character distributed architecture is 3-3.

For another example, when determining that space position is [20,25], and the corresponding character zone of each character in character identification result Respectively [1,5], [7,12], [14,19], [26,31], [33,38] when [40,45], can determine that character distributed architecture is 3- 3。

Alternatively, step 2 determines i.e. according to each character in above-mentioned space position and character identification result The step of license plate area corresponding character distributed architecture, it may comprise steps of 2a~step 2g:

Step 2a: according to each character in above-mentioned space position and character identification result, original character distributed architecture is determined.

Step 2b: judging to whether there is distributed architecture identical with the original character distributed architecture in preset structural library, If it is present executing step 2c；If it does not exist, then executing step 2d.

Wherein, above structure library is for storing each character distributed architecture.As an example, above structure library can be The structural library of each character distributed architecture in storage table 3.

Step 2c: the original character distributed architecture is determined as the corresponding character distributed architecture of license plate area.

Step 2d: the determining and highest character distributed architecture of original character distributed architecture similarity from the structural library is made For reference character distributed architecture.

Specifically, when determining the similarity between the character distributed architecture in structural library and original character distributed architecture, It may include numerous embodiments.It, can be according to the space in original character distributed architecture as a kind of specific embodiment Quantity filters out the partial character distributed architecture with the space quantity from structural library；Then it is distributed and is tied according to original character The character number of each character field in structure is filtered out with original character distributed architecture from partial character distributed architecture with identical The largest number of subdivision character distributed architectures of the character field of character number；Determine original character distributed architecture and subdivision character The different character field of distributed architecture character number, by the smallest subdivision character distributed architecture of the character number gap of character field, It is determined as and the highest character distributed architecture of original character distributed architecture similarity.

For example, original character distributed architecture is 3-4-2, then according to each character distributed architecture in table 3 it is found that having The partial character distributed architecture of two spaces includes: 2-3-1,2-3-2,2-4-1,1-4-2,2-4-2,2-5-1.These partial words With original character distributed architecture there is the character field number of identical characters number to be respectively as follows: 0,1,1,2,2,0 in symbol distributed architecture. Wherein, the largest number of subdivision character distributed architectures of character field include 2-4-2 and 1-4-2.First sub- partial character distribution Structure and the gap of original character distributed architecture are (3-2=1) 1, second sub- partial character distributed architecture and original character point The gap of cloth structure is (3-1=2) 2.Therefore, first sub- partial character distributed architecture 2-4-2 is determined as reference character distribution Structure.

Step 2e: the difference character field of above-mentioned original character distributed architecture Yu reference character distributed architecture is determined.

It uses the example above, it is known that the difference character field of original character distributed architecture 3-4-2 and reference character distributed architecture 2-4-2 For first character section (character field on the left of first space).

Step 2f: according to the difference character field, word corresponding with the difference character field in above-mentioned character identification result is corrected Symbol, obtains revised character identification result.

It uses the example above, since reference character distributed architecture is 2-4-2, when correcting above-mentioned character identification result, can incite somebody to action Left side first character is left out in character field " 3 " in original character distributed architecture 3-4-2, which is the character more identified.Such as Fruit reference character distributed architecture is that 3-4-1 can be by original character distributed architecture 3-4- when correcting above-mentioned character identification result Right side last character is left out in character field " 2 " in 2, which is also the character more identified.

Step 2g: according to above-mentioned space position and revised character identification result, the corresponding character of license plate area is determined Distributed architecture.

Specifically, step 2g can be executed using the process similar with step 2a.

It is understood that being determined after character identification result is modified according to revised character identification result The corresponding character distributed architecture of license plate area, can be improved the accuracy of identified character distributed architecture.

As it can be seen that the present embodiment can determine the space position in license plate area according to character identification result, since character is known Other result can more accurately characterize the information of character in license plate area, therefore the present embodiment can more accurately determine character point Cloth structure.

In addition, to license plate image carry out character recognition when, difficult point first is that, the shape similar character of kinds of characters type Symbol can not accurately distinguish.Such as number 1 and letter I, number 0 and letter O, between number 8 and letter b, due to character itself Shape is very close, easily leads to misrecognition.Also, when the image quality of license plate image is poor, character stroke feature can more mould Paste, is more difficult to distinguish above-mentioned character in this case.

In order to improve the accuracy of character recognition, after determining the corresponding character distributed architecture of license plate area, this implementation The method of example can also include the following steps the process of 1~step 3 corrigendum character identification result:

Step 1: judging whether above-mentioned character distributed architecture meets preset characters distributed architecture, if met, execute step Rapid 2；If do not met, do not handled, i.e., character identification result is not corrected.

Wherein, preset characters distributed architecture are as follows: there are changeless right between character types and the character distributed architecture The character distributed architecture that should be related to.For example, in European Union area, there are in the every country of 2-3-2 structure, 2-3-2 structure pair The character types answered are respectively the letter or number of number -2 of 2 letters -3, referring to each with 2-3-2 structure in Fig. 1 b A license plate image.That is, it is necessarily alphabetical to meet preceding 2 characters in the license plate of 2-3-2 structure, intermediate 3 character certainty It is number.

Step 2: judging whether the character types in above-mentioned character identification result are preset characters type, if not being default Character types then follow the steps 3；If it is not handled, it is believed that character identification result is correct, without amendment.

Wherein, preset characters type is character types corresponding with preset characters distributed architecture.

Continuation of the previous cases explanation, it is known that preset characters distributed architecture is 2-3-2, corresponding pre- with the preset characters distributed architecture If character types are 2 letter or numbers of number -2 of letter -3.If preceding 2 characters are not all in character identification result Letter, and/or, intermediate 3 characters are not all number, then it is assumed that the character types in above-mentioned character identification result are not predetermined word Accord with type.

Step 3: the character in above-mentioned character identification result is converted to the word of preset characters type corresponding with the character Symbol, obtains updated character identification result.

For example, by the character in above-mentioned character identification result according to number 1 and letter I, number 0 and letter O, digital 8 Hes Corresponding relationship between letter b is converted, it is hereby achieved that updated character identification result.

As it can be seen that the present embodiment can turn the character in character identification result according to determining character distributed architecture It changes, the different still identical misrecognition characters of shape of character types is corrected, to improve the accurate of character identification result Property.

In addition, from table 3 it is observed that individual characters distributed architecture corresponds to multiple license plate types.That is, using upper The target license plate type that the method for stating embodiment determines may more than one.In this case, in order to more accurately determine most Whole license plate type, can use following implementation.

In a kind of specific embodiment of embodiment shown in Fig. 2, step S205, i.e., according to the target license plate type, The step of determining the license plate image to be identified corresponding license plate type, can carry out, specifically according to flow diagram shown in Fig. 5 Include the following steps S205a~step S205e:

Step S205a: judging whether the quantity of target license plate type is greater than one, if not, thening follow the steps S205b； If so, thening follow the steps S205c.

Step S205b: target license plate type is determined as the corresponding license plate type of license plate image to be identified.

Step S205c: according to preset distinctive mark position, distinctive mark region is determined from above-mentioned license plate area.

For example, preset distinctive mark position can be vehicle in the license plate area example of the European Union area shown in Fig. 1 b The portion in left side in board region, or the region in license plate area between the 2nd character and the 3rd character.Due to In region in the license plate of European Union area between the 2nd character and the 3rd character, corresponding image has more distinction, therefore is Raising accuracy, can region between preferred 2nd character and the 3rd character as preset distinctive mark position.

Step S205d: it determines the characteristics of image in the distinctive mark region, and the characteristics of image is inputted into preset be used for really Determine the classifier of license plate type.The characteristics of image is the feature determined according to the pixel value in above-mentioned distinctive mark region.

Wherein, above-mentioned classifier, characteristics of image obtained and license plate type when for being completed according to the classifier training Corresponding relationship, determine the corresponding license plate type of above-mentioned inputted characteristics of image.In training, support vector machines can be used (Support Vector Machine, SVM) trains classifier.

Specifically, histograms of oriented gradients can be used when determining the characteristics of image in the distinctive mark region (Histogram of Oriented Gradient, HOG) algorithm extracts the characteristics of image in the distinctive mark region.Wherein, HOG Algorithm be it is a kind of be used to carry out the feature of object detection in image procossing to describe algorithm, by calculating and statistical picture part The pixel value gradient direction histogram in region carrys out constitutive characteristic.

Step S205e: the license plate type of classifier transmission is obtained, accessed license plate type is determined as to be identified The corresponding license plate type of license plate image.

As it can be seen that the present embodiment can be when the quantity of target license plate type be greater than one, according to special in license plate area Mark carries out classification determination using preparatory trained classifier, so as to more accurately determine license plate image to be identified License plate type.

It should be noted that the recognition methods operand of license plate type provided by the embodiments of the present application is relatively low, it is suitble to It is applied on the relatively small number of embedded platform of computing resource.

Fig. 6 is a kind of structural schematic diagram of the identification device of license plate type provided by the embodiments of the present application.The device application In electronic equipment, and it is corresponding with embodiment of the method shown in Fig. 2.The device includes:

Locating module 601 positions the license plate area in the license plate image to be identified for obtaining license plate image to be identified Domain；

Identification module 602 obtains character identification result for carrying out character recognition to the license plate area；

First determining module 603, for determining the corresponding target word of the license plate area according to the character identification result Accord with feature；

Matching module 604, for determining the corresponding target carriage of the target character feature from preset license plate typelib Board type, the license plate typelib, for storing the corresponding relationship of character feature Yu license plate type；

Second determining module 605, for determining that the license plate image to be identified is corresponding according to the target license plate type License plate type.

In a kind of embodiment of embodiment shown in Fig. 6, the license plate typelib, for storing according to tree-like arrangement Each layer character feature and the corresponding license plate type of the last layer character feature, each target character feature and the license plate type Each layer in library corresponds；

The matching module 604 may include:

First determines submodule (not shown), for first layer target character feature to be determined as to the target of current layer All character features of first layer in license plate typelib are determined as character feature to be selected by character feature；

Matched sub-block (not shown), for the target word with current layer determining from the character feature to be selected Accord with the matching character feature of characteristic matching；

First judging submodule (not shown), for judging whether the matching character feature is the last layer character Feature；

Second determines submodule (not shown), for being the last layer character feature when the matching character feature When, the corresponding license plate type of the matching character feature is determined as target license plate type；

Submodule (not shown) is updated, for when the matching character feature is not the last layer character feature, Next layer of target character feature is updated to the target character feature of current layer, by next layer all in the license plate typelib Character feature is updated to character feature to be selected, triggers the matched sub-block.

In a kind of embodiment of embodiment shown in Fig. 6, the target character feature includes character distributed architecture；

First determining module 603 may include:

Space determines submodule (not shown), for determining the license plate area according to the character identification result In space position；

Structure determination submodule (not shown), for according to each in the space position and the character identification result A character determines the corresponding character distributed architecture of the license plate area.

In a kind of embodiment of embodiment shown in Fig. 6, the space determines that submodule may include:

First center is away from determination unit (not shown), for determining adjacent character region in the character identification result Between center away from；

Second center is away from determination unit (not shown), for determining the center away from the maximum preset quantity of middle numerical value A center away from, as target's center away from；

First judging unit (not shown), for judge the target's center away from the mean center away from whether full The default size relation of foot；

Space determination unit (not shown), for when the target's center is away from default away from meeting with the mean center When size relation, the target's center is determined as space position away from the position between corresponding adjacent character region；

In a kind of embodiment of embodiment shown in Fig. 6, described device can also include:

Update module (not shown), for sentencing after determining the corresponding character distributed architecture of the license plate area Whether the character distributed architecture that breaks meets preset characters distributed architecture；If met, judge in the character identification result Character types whether be preset characters type, the preset characters type be word corresponding with the preset characters distributed architecture Accord with type；If being not preset characters type, the character in the character identification result is converted to corresponding with the character The character of preset characters type obtains updated character identification result.

In a kind of embodiment of embodiment shown in Fig. 6, the structure determination submodule may include:

Originally determined unit (not shown), for according to each in the space position and the character identification result Character determines original character distributed architecture；

Second judgment unit (not shown) whether there is and the original character in preset structural library for judging The identical distributed architecture of distributed architecture, wherein the structural library is for storing each character distributed architecture；

First structure determination unit (not shown), for existing in the preset structural library and the original character point When the identical distributed architecture of cloth structure, the original character distributed architecture is determined as the corresponding character of the license plate area and is distributed Structure；

Second structure determination unit (not shown), for being not present in the preset structural library and the original character It is when the identical distributed architecture of distributed architecture, then determining with the original character distributed architecture similarity highest from the structural library Character distributed architecture, as reference character distributed architecture；Determine that the original character distributed architecture and reference character distribution are tied The difference character field of structure；According to the difference character field, correct corresponding with the difference character field in the character identification result Character, obtain revised character identification result；According to the space position and revised character identification result, institute is determined State the corresponding character distributed architecture of license plate area.

In a kind of embodiment of embodiment shown in Fig. 6, second determining module 605 may include:

Second judgment submodule (not shown), for judging whether the quantity of the target license plate type is greater than one It is a；

Third determines submodule (not shown), when the quantity of the target license plate type is not more than one, by institute It states target license plate type and is determined as the corresponding license plate type of the license plate image to be identified；

4th determine submodule (not shown), for when the quantity of the target license plate type be greater than one when, root According to preset distinctive mark position, distinctive mark region is determined from the license plate area；

Input submodule (not shown), for determining the characteristics of image in the distinctive mark region, and by the figure As feature inputs the preset classifier for being used to determine license plate type；Wherein, the classifier, for being instructed according to the classifier Practice the corresponding relationship of characteristics of image and license plate type obtained when completing, the inputted corresponding license plate class of characteristics of image of determination Type；Described image feature is the feature determined according to the pixel value in the distinctive mark region；

Acquisition submodule (not shown), the license plate type sent for obtaining the classifier, will be accessed License plate type is determined as the corresponding license plate type of the license plate image to be identified.

Since above-mentioned apparatus embodiment is obtained based on embodiment of the method, and this method technical effect having the same, Therefore details are not described herein for the technical effect of Installation practice.For device embodiment, since it is substantially similar to method Embodiment, so describing fairly simple, the relevent part can refer to the partial explaination of embodiments of method.

Fig. 7 is a kind of structural schematic diagram of electronic equipment provided by the embodiments of the present application.The electronic equipment includes processor 701, communication interface 702, memory 703 and communication bus 704.Wherein, processor 701, communication interface 702, memory 703 are logical It crosses communication bus 704 and completes mutual communication；

Memory 703, for storing computer program；

Processor 701 when for executing the program stored on memory, realizes license plate class provided by the embodiments of the present application The recognition methods of type.Wherein, the recognition methods of the license plate type includes:

Wherein, the communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component Interconnect, PCI) bus or expanding the industrial standard structure (Extended Industry Standard Architecture, EISA) bus etc..The communication bus can be divided into address bus, data/address bus, control bus etc..For just It is only indicated with a thick line in expression, figure, it is not intended that an only bus or a type of bus.

Communication interface is for the communication between above-mentioned electronic equipment and other equipment.

Memory may include random access memory (Random Access Memory, RAM), also may include non-easy The property lost memory (Non-Volatile Memory, NVM), for example, at least a magnetic disk storage.Optionally, memory may be used also To be storage device that at least one is located remotely from aforementioned processor.

Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit, CPU), network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal Processing, DSP), it is specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing It is field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device, discrete Door or transistor logic, discrete hardware components.

As it can be seen that the present embodiment can determine license plate type according to the character feature of license plate.In the vehicle of different license plate types In the identical situation of board colouring information, the character feature of license plate is the feature more richer than the colouring information of license plate, according to license plate Character feature can more accurately identify license plate type.Meanwhile character recognition is carried out to license plate area, and according to character recognition As a result determine license plate character feature, determining character feature can be made more acurrate, thus further increase the present embodiment provides License plate type identification scheme accuracy rate.

The embodiment of the present application also provides a kind of computer readable storage medium, stored in the computer readable storage medium There is computer program, the identification side of license plate type provided by the embodiments of the present application is realized when computer program is executed by processor Method.Wherein, the recognition methods of the license plate type includes:

It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or any other variant be intended to it is non- It is exclusive to include, so that the process, method, article or equipment for including a series of elements not only includes those elements, It but also including other elements that are not explicitly listed, or further include solid by this process, method, article or equipment Some elements.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including There is also other identical elements in the process, method, article or equipment of the element.

Each embodiment in this specification is all made of relevant mode and describes, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.

The foregoing is merely the preferred embodiments of the application, are not intended to limit the protection scope of the application.It is all Any modification, equivalent substitution, improvement and etc. done within spirit herein and principle are all contained in the protection scope of the application It is interior.

Claims

1. a kind of recognition methods of license plate type, which is characterized in that the described method includes:

The corresponding target license plate type of the target character feature, the license plate type are determined from preset license plate typelib Library, for storing the corresponding relationship of character feature Yu license plate type；

2. the method according to claim 1, wherein the license plate typelib, is used to store according to tree-like arrangement Each layer character feature and the corresponding license plate type of the last layer character feature, each target character feature and the license plate class Each layer in type library corresponds；

The described the step of corresponding target license plate type of the target character feature is determined from preset license plate typelib, packet It includes:

First layer target character feature is determined as to the target character feature of current layer, by first layer in the license plate typelib All character features are determined as character feature to be selected；

If it is not, then next layer of target character feature to be updated to the target character feature of current layer, by the license plate typelib In next layer of all character features be updated to character feature to be selected, return execute it is described from the character feature to be selected The step of determining matching character feature with the target character characteristic matching of current layer.

3. described in any item methods according to claim 1~2, which is characterized in that the target character feature includes following spy At least one of sign: single bilayer license board information, character total quantity, the quantity of all kinds of ocra font ocrs, character distributed architecture.

4. according to the method described in claim 3, it is characterized in that, the target character feature includes the character distribution knot Structure；

It is described according to the character identification result, the step of determining the license plate area corresponding target character feature, comprising:

According to each character in the space position and the character identification result, the corresponding character point of the license plate area is determined Cloth structure.

5. according to the method described in claim 4, determining the vehicle it is characterized in that, described according to the character identification result The step of space position in board region, comprising:

If it is satisfied, then the target's center is determined as space position away from the position between corresponding adjacent character region；

6. according to the method described in claim 4, it is characterized in that, determining the corresponding character distributed architecture of the license plate area Later, the method also includes:

If met, judge whether the character types in the character identification result are preset characters type, the predetermined word Symbol type is character types corresponding with the preset characters distributed architecture；

If not being preset characters type, the character in the character identification result is converted to corresponding with the character default The character of character types obtains updated character identification result.

7. according to the method described in claim 4, it is characterized in that, described according to the space position and the character recognition knot Each character in fruit, the step of determining the license plate area corresponding character distributed architecture, comprising:

Judge in preset structural library with the presence or absence of distributed architecture identical with the original character distributed architecture, wherein described Structural library is for storing each character distributed architecture；

If it is present the original character distributed architecture is determined as the corresponding character distributed architecture of the license plate area；

If it does not exist, then determining from the structural library be distributed with the highest character of the original character distributed architecture similarity Structure, as reference character distributed architecture；

According to the difference character field, character corresponding with the difference character field in the character identification result is corrected, is obtained Revised character identification result；

According to the space position and revised character identification result, the corresponding character distribution knot of the license plate area is determined Structure.

8. the method according to claim 1, wherein described according to the target license plate type, determine it is described to The step of identifying license plate image corresponding license plate type, comprising:

Determine the characteristics of image in the distinctive mark region, and be used to determine license plate type for the input of described image feature is preset Classifier；Wherein, the classifier, characteristics of image obtained and license plate class when for being completed according to the classifier training The corresponding relationship of type determines the inputted corresponding license plate type of characteristics of image；Described image feature is according to the special mark The feature that the pixel value in will region determines；

The license plate type that the classifier is sent is obtained, accessed license plate type is determined as the license plate image to be identified Corresponding license plate type.

9. a kind of identification device of license plate type, which is characterized in that described device includes:

First determining module, for determining the corresponding target character feature of the license plate area according to the character identification result；

Matching module, for determining the corresponding target license plate type of the target character feature from preset license plate typelib, The license plate typelib, for storing the corresponding relationship of character feature Yu license plate type；

Second determining module, for determining the corresponding license plate class of the license plate image to be identified according to the target license plate type Type.

10. device according to claim 9, which is characterized in that the license plate typelib, for storing according to tree-like arrangement Each layer character feature and the corresponding license plate type of the last layer character feature, each target character feature and the license plate class Each layer in type library corresponds；

The matching module, comprising:

First determines submodule, will be described for first layer target character feature to be determined as to the target character feature of current layer All character features of first layer are determined as character feature to be selected in license plate typelib；

Matched sub-block, for the matching with the target character characteristic matching of current layer determining from the character feature to be selected Character feature；

Second determines submodule, is used for when the matching character feature is the last layer character feature, by the matching character The corresponding license plate type of feature is determined as target license plate type；

Submodule is updated, for when the matching character feature is not the last layer character feature, by next layer of target character Feature is updated to the target character feature of current layer, by next layer in the license plate typelib of all character features be updated to The character feature of choosing triggers the matched sub-block.

11. according to the described in any item devices of claim 9~10, which is characterized in that the target character feature includes character Distributed architecture；

First determining module, comprising:

Structure determination submodule, described in determining according to each character in the space position and the character identification result The corresponding character distributed architecture of license plate area.

12. device according to claim 11, which is characterized in that the space determines submodule, comprising:

First center away from determination unit, for determine the center in the character identification result between adjacent character region away from；

Second center is away from determination unit, for determining the center away from the maximum preset quantity center of middle numerical value away from as mesh Mark center away from；

Mean center away from computing unit, for calculate center of the center away from in addition to the target's center away from other than away from it is flat Mean value, as mean center away from；

First judging unit, for judge the target's center away from the mean center away from whether meeting default size relation；

Space determination unit is used for when the target's center is away from the mean center away from default size relation is met, by institute It states target's center and is determined as space position away from the position between corresponding adjacent character region；

13. device according to claim 11, which is characterized in that described device further include:

Update module, for after determining the corresponding character distributed architecture of the license plate area, judging the character distribution knot Whether structure meets preset characters distributed architecture；If met, judge the character types in the character identification result whether be Preset characters type, the preset characters type are character types corresponding with the preset characters distributed architecture；If not being Character in the character identification result is then converted to the word of preset characters type corresponding with the character by preset characters type Symbol, obtains updated character identification result.

14. device according to claim 11, which is characterized in that the structure determination submodule, comprising:

Originally determined unit, for determining initial word according to each character in the space position and the character identification result Accord with distributed architecture；

Second judgment unit whether there is and identical point of the original character distributed architecture in preset structural library for judging Cloth structure, wherein the structural library is for storing each character distributed architecture；

There is distribution identical with the original character distributed architecture in preset structural library for working as in first structure determination unit When structure, the original character distributed architecture is determined as the corresponding character distributed architecture of the license plate area；

Second structure determination unit, for being not present in the preset structural library and identical point of the original character distributed architecture It is when cloth structure, then determining with the highest character distributed architecture of the original character distributed architecture similarity from the structural library, As reference character distributed architecture；Determine the difference character field of the original character distributed architecture Yu reference character distributed architecture； According to the difference character field, character corresponding with the difference character field in the character identification result is corrected, is corrected Character identification result afterwards；According to the space position and revised character identification result, determine that the license plate area is corresponding Character distributed architecture.

15. device according to claim 9, which is characterized in that second determining module, comprising:

Third determines submodule, when the quantity of the target license plate type is not more than one, the target license plate type is true It is set to the corresponding license plate type of the license plate image to be identified；

4th determine submodule, for when the quantity of the target license plate type be greater than one when, according to preset distinctive mark Position determines distinctive mark region from the license plate area；

Input submodule, for determining the characteristics of image in the distinctive mark region, and the input of described image feature is preset For determining the classifier of license plate type；Wherein, the classifier, it is obtained when for being completed according to the classifier training The corresponding relationship of characteristics of image and license plate type determines the inputted corresponding license plate type of characteristics of image；Described image feature For the feature determined according to the pixel value in the distinctive mark region；

Acquisition submodule, the license plate type sent for obtaining the classifier, is determined as institute for accessed license plate type State the corresponding license plate type of license plate image to be identified.

16. a kind of electronic equipment, which is characterized in that including processor, communication interface, memory and communication bus, wherein processing Device, communication interface, memory complete mutual communication by communication bus；

Memory, for storing computer program；

Processor when for executing the program stored on memory, realizes any method and step of claim 1-8.